AP-CNN
Reported on 6 benchmarks across 1 task · 1 paper · 1 SOTA
Note: results are matched by exact model name. Different papers may use the same name for different model variants.
Natural Language Processing6 results
- P@1· 2016-02-11SOTA0.755best: 0.809 (HyperQA)
- MAP· 2016-02-110.771best: 0.795 (HyperQA)
- MRR· 2016-02-110.726best: 0.863 (sMIM (1024) +)
- P@1· 2016-02-110.56best: 0.757 (sMIM (1024) +)
- MAP· 2016-02-110.6886best: 0.927 (TANDA-DeBERTa-V3-Large + ALL)
- MRR· 2016-02-110.6957best: 0.939 (TANDA-DeBERTa-V3-Large + ALL)